Particle swarm optimization with random sampling in variable neighbourhoods for solving global minimization problems

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7461 LNCS, Issue , 2012, Pages 352-353

  Nápoles, Gonzalo ^a   Grau, Isel ^a   Bello, Rafael ^a  

^a CENTRAL UNIVERSITY OF LAS VILLAS   (Cuba)

Author keywords

[No Author keywords available]

Indexed keywords

BIO-INSPIRED; CLOSE PROXIMITY; GLOBAL MINIMIZATION; LOCAL OPTIMA; MULTIMODAL PROBLEMS; PARTICLE SWARM; PREMATURE CONVERGENCE; RANDOM SAMPLE; RANDOM SAMPLING; SEARCH SPACES; SOCIAL BEHAVIOUR; STANDARD PSO; SUBOPTIMAL SOLUTION;

ALGORITHMS; ARTIFICIAL INTELLIGENCE;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 84866429106     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-32650-9_42     Document Type: Conference Paper

References (5)

1. Clerc, M., Kennedy, J.: The particle swarm - explosion, stability, and convergence in a multidimensional complex space. IEEE Transactions on Evolutionary Computation 6, 58-73 (2002)
2. Hansen, P., Mladenovic, N.: Variable neighbourhood search: Principles and applications. European Journal of Operations Research 130, 449-467 (2001)
3. Idoumghar, L., et al.: Hybrid PSO-SA type algorithms for multimodal function optimization and reducing energy consumption in embedded systems. Applied Computational Intelligence and Soft Computing 2011, 12 pages (2011)
4. Kennedy, J., Eberhart, R.: Particle swarm optimization. In: Proceedings of the 1995 IEEE International Conference on Neural Networks, pp. 1942-1948 (1995)
5. Kennedy, J., Russell, C.E.: Swarm Intelligence. Morgan Kaufmann (2001)